Triple
T22588246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raw |
E564859
|
entity |
| Predicate | distributedBy |
P1951
|
FINISHED |
| Object | Focus World |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Focus World | Statement: [Raw, distributedBy, Focus World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Focus World Context triple: [Raw, distributedBy, Focus World]
-
A.
Focus World
chosen
Focus World is a film distribution label of Focus Features that specializes in releasing independent and international movies, often through limited theatrical and digital platforms.
-
B.
World Focus
World Focus is a programming section of the Tokyo International Film Festival that showcases notable films from around the globe.
-
C.
Worldwide
"Worldwide" is a pop ballad by the American boy band Big Time Rush, known for its emotional lyrics and prominent feature in their TV series.
-
D.
Worldwide
Worldwide is a global hospitality and lifestyle brand associated with the W New York hotel.
-
E.
Global
Global is a major UK-based media and entertainment company best known for owning and operating prominent radio brands and digital audio platforms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615ea5bc8190b7760cd0de9669dd |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:47 p.m.